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Get my beauty profile

get_my_profile
Read-only

The user's BeautySpark analysis: color season, undertone, eye shape, face shape and app language. Fields are null until the selfie analysis has been run in the app.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
noteNo
seasonYes
eyeShapeYes
languageYes
faceShapeYes
undertoneYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description's one genuine addition is that all fields are null until the selfie analysis runs, which matters for interpreting results, but it says nothing about behavior when the profile is absent (error vs empty object).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences: the first states the payload front-loaded, the second gives the one precondition that changes how the result should be read. No filler, no restatement of the title, nothing wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a parameterless read tool with full annotations and an output schema, so the description only needs to frame what is returned and any caveat, both of which it does. The only gap is what an agent should expect before the selfie analysis exists, beyond 'null fields'.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is no parameter semantics for the description to add and the baseline of 4 is approached only loosely. The schema already carries no arguments to document and an output schema exists, so nothing here is left to inference.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource precisely and enumerates its contents (color season, undertone, eye shape, face shape, app language), which lets an agent distinguish it from narrower siblings like get_color_season. The retrieval verb is only implied by the tool name rather than stated in the description, keeping it just short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied rather than stated: an agent can infer this is the aggregate profile read versus the single-attribute sibling get_color_season, and the null caveat signals a prerequisite. However, no explicit when-to-use or when-not-to-use guidance, and no sibling is named.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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